Results 131 to 140 of about 18,710 (282)

Immune escape mechanisms revealed by multifunctional nanoprobes targeting PD‐L1 in hepatic cancer progression

VIEW, EarlyView.
The ICGB@Apt nanoprobes are designed to specifically recognize immune checkpoint molecules such as PD‐L1, thereby enabling precise monitoring of the progression from liver cirrhosis to HC. By binding to PD‐L1 on tumor cells, ICGB@Apt visualizes immune escape events and tumor metastasis while simultaneously reflecting the dynamic interaction between ...
Yiteng Meng, Liwen Jing, Yeda Chen, Shenggang Zhan, Feng Xiong, Wenbiao Chen   +5 more
wiley   +1 more source

Combined Transcriptomic and Proteomic Forecast Analyses for Potential Biomarkers of Smoking‐Induced Benign and Malignant Transformation of Vocal Fold Lesions

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective Laryngeal dysplasia and Reinke's edema (RE) are common vocal fold lesions associated with smoking. While the former is cancer prone, most cases of the latter do not undergo malignant transformation. Therefore, we proposed identifying biomarkers of smoking‐induced benign‐malignant transformation of vocal fold lesions.
Yun‐Yi Liu, Pei‐Yun Zhuang
wiley   +1 more source

ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Abnormalities in the heart's rhythm, known as arrhythmias, pose a significant threat to global health, often leading to severe cardiac conditions and sudden cardiac deaths. Therefore, early and accurate detection of arrhythmias is crucial for timely intervention and potentially life‐saving treatment.
Hasnain Ali Shah, Faisal Saeed, Muhammad Diyan, Nouf Abdullah Almujally, Jae‐Mo Kang   +4 more
wiley   +1 more source

Structural Feature Selection in Common Spatial Patterns Using Adaptive Sparse Group Lasso

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the advancement of brain–computer interfaces (BCI), motor imagery (MI) electroencephalogram (EEG) decoding can greatly benefit from spatial filtering features derived from common spatial patterns (CSP). However, CSP‐based features often exhibit high redundancy and intersubject variability.
Yadi Wang, Jiahao Zhang, Tengfei Zhou, Bingbing Jiang, Jiejiang Chen   +4 more
wiley   +1 more source

A Review of Human–AI Synergy in Smart Energy Management Concepts, Functions, Applications, and Future Frontiers

Energy Internet, EarlyView.
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An, Jing Qiu, Jiafeng Lin, Zhe Yuan, Weiyi Tian, Zongyu Yao   +5 more
wiley   +1 more source

The state of modelling face processing in humans with deep learning

British Journal of Psychology, EarlyView.
Abstract Deep learning models trained for facial recognition now surpass the highest performing human participants. Recent evidence suggests that they also model some qualitative aspects of face processing in humans. This review compares the current understanding of deep learning models with psychological models of the face processing system ...
P. Jonathon Phillips, David White
wiley   +1 more source

Using multilabel classification neural network to detect intersectional DIF with small sample sizes

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley   +1 more source

Advances in Electrocardiogram‐Based Non‐Invasive Blood Glucose Monitoring Technology

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Blood glucose monitoring is fundamental to diabetes management, yet traditional invasive methods are limited by patient discomfort and infection risks. In recent years, electrocardiogram (ECG), a conventional tool for cardiovascular assessment, has gained attention as a prospective method for non‐invasive blood glucose monitoring.
Qi Zeng, Jiaying Ni, Ziyi Zhang, Jinghao Cai, Jingyi Lu, Jian Zhou   +5 more
wiley   +1 more source

Machine Learning‐Driven Construction of High‐Yielding Cucumber Plant Architectures in Greenhouse Environments

Plant Biotechnology Journal, EarlyView.
Schematic summary of the machine learning‐driven analysis for high‐yield cucumber architecture. This study employs machine learning methods to analyze key shoot and root traits, building a predictive model for yield. The analysis identifies an optimal plant architecture: a compact and sturdy shoot structure, combined with a narrow yet larger‐diameter ...
Cuifang Zhu, Hongjun Yu, Caili Zhao, Hongyang Wu, Xiaoyang Wan, Tao Lu, Yang Li, Weijie Jiang, Qiang Li   +8 more
wiley   +1 more source

Perceptual Priors Update Contextual Feedback Processing in V1

Topics in Cognitive Science, EarlyView.
Abstract Contextual information and prior knowledge facilitate perceptual processing, improving our recognition of even distorted or obstructed visual inputs. As a result, neuronal processing elicited by identical sensory inputs varies depending on the context in which we encounter those inputs.
Yulia Y. Lazarova, Yingying Huang, Lars F. Muckli, Lucy S. Petro   +3 more
wiley   +1 more source